Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Emanuele Schiavi"'
Publikováno v:
@tic: Revista d'Innovació Educativa, Vol 0, Iss 13, Pp 122-131 (2014)
En este treball es presenta el disseny d’un Laboratori virtual d’ensenyament-aprenentatge per a la resolució d’un problema model de Transferència de la Calor en la matèria d’Enginyeria Tèrmica del II curs del Grau d’Enginyer de Tecnolog
Externí odkaz:
https://doaj.org/article/1e9c4eedf9bd4d6c884a0b88b0a0bd1a
Publikováno v:
Dyna, Vol 80, Iss 182, Pp 25-30 (2013)
En este trabajo se trata el problema de eliminación de ruido Rician en imagen de Resonancia Magnética para la mejora de la reconstrucción de las imágenes de DifusiónTensorial. El modelado del ruido Rician es enfocado desde un marco variacional b
Externí odkaz:
https://doaj.org/article/eddbc43e6a73438fa59b8bed56d69bb3
Publikováno v:
Journal of Real-Time Image Processing. 18:739-750
In this paper, we propose and solve numerically a general non-smooth, non-local variational model to tackle the saliency detection problem in natural images. In order to overcome the typical drawback of the non-local methods in image processing, whic
Publikováno v:
Neurocomputing. 379:64-73
Deep Bayesian Networks are a hot topic in Deep Learning because this approach makes it possible to minimize both the epistemic and the homoscedastic uncertainty at the same time self balancing multiple and complementary losses for a given task, simpl
Publikováno v:
Recent Advances in Differential Equations and Applications ISBN: 9783030003401
Saliency detection is an image processing task which aims at automatically estimating visually salient object regions in a digital image mimicking human visual attention and eyes fixation. A number of different computational approaches for visual sal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::100c4803005c77f2e6cc80c53f7629bc
https://doi.org/10.1007/978-3-030-00341-8_10
https://doi.org/10.1007/978-3-030-00341-8_10
Publikováno v:
Nonlinear Analysis: Real World Applications. 32:74-90
We study the existence and uniqueness of solutions of a nonlinear integro-differential problem which we reformulate introducing the notion of the decreasing rearrangement of the solution. A dimensional reduction of the problem is obtained and a detai
Autor:
Itthi Chatnuntawech, Kawin Setsompop, Adrian Martin, Emanuele Schiavi, Elfar Adalsteinsson, Berkin Bilgic
Publikováno v:
Magnetic Resonance Imaging. 34:1161-1170
Purpose To develop and implement an efficient reconstruction technique to improve accelerated multi-channel multi-contrast MRI. Theory and Methods The vectorial total generalized variation (TGV) operator is used as a regularizer for the sensitivity e
Publikováno v:
Applied Intelligence. 46:241-253
Diffusion tensor imaging has shown promise in the early detection and diagnosis of a host of disorders and neurologic conditions. In this paper, we propose a nonrigid registration approach for diffusion tensor images using a multicomponent informatio
Publikováno v:
ISBI
We propose a new variational model for saliency detection in images and its application to brain tumor segmentation. By incorporating a saliency term to a classical Total Variation based restoration functional, the new model is able to discriminate w
Autor:
Lawrence L. Wald, Emanuele Schiavi, Yigitcan Eryaman, Borjan Gagoski, Bastien Guerin, Elfar Adalsteinsson, Joaquin L. Herraiz, Adrian Martin
Publikováno v:
Magnetic Resonance in Medicine. 75:2493-2504
Purpose A new framework for the design of parallel transmit (pTx) pulses is presented introducing constraints for local and global specific absorption rate (SAR) in the presence of errors in the radiofrequency (RF) transmit chain. Methods The first s